基于云计算的引调水工程星载TD-InSAR地表形变监测

万鹏; 韩贤权; 谭勇; 秦朋

doi:10.11988/ckyyb.20231420

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长江科学院院报 ›› 2024, Vol. 41 ›› Issue (10) : 206-214. DOI: 10.11988/ckyyb.20231420

水利信息化

基于云计算的引调水工程星载TD-InSAR地表形变监测

万鹏 ¹^,²^,³ ,
韩贤权 ¹^,²^,³ ,
谭勇 ¹^,²^,³ ,
秦朋 ¹^,²^,³

作者信息 +

TD-InSAR Monitoring of Land Surface Deformation along Water Diversion Projects Based on Cloud Computing

WAN Peng ¹^,²^,³ ,
HAN Xian-quan ¹^,²^,³ ,
TAN Yong ¹^,²^,³ ,
QIN Peng ¹^,²^,³

Author information +

文章历史 +

摘要

针对时间序列InSAR计算量大、时效性低、传统D-InSAR精度不高的问题,提出了TD-InSAR连续像对干涉测量方法,并利用HyP3云计算平台实现了长距离引调水工程沿线地表形变连续干涉像对快速分析。以珠江三角洲水资源配置工程为研究区,以传统PS-InSAR监测结果为参照数据对TD-InSAR地表形变探测精度进行了验证。试验结果表明:TD-InSAR取得的地表形变速率与PS-InSAR趋势一致,决定系数R²>0.7,精度相比传统D-InSAR方法提高了52.6%;基于云计算的TD-InSAR地表形变监测方法降低了时序分析的计算量,提高了时序分析的时效性,适用于大范围的地表形变快速普查分析。

Abstract

To address the high computational burden and low efficiency of time-series InSAR as well as the inadequate accuracy of traditional D-InSAR methods, we propose a TD-InSAR approach using continuous image pairs. This method enables rapid analysis of land surface deformation along long-distance water diversion and transfer projects through the HyP3 cloud computing platform. We validated the accuracy of the TD-InSAR land surface deformation detection by applying it to the Pearl River Delta Water Resources Allocation Project and comparing the results with traditional PS-InSAR monitoring data. Results demonstrate that TD-InSAR’s land surface deformation rate closely aligns with the trends observed in PS-InSAR, with a determination coefficient R² greater than 0.7. Furthermore, TD-InSAR improves accuracy by 52.6% compared to traditional D-InSAR methods. The cloud computing-based TD-InSAR approach significantly reduces the computational burden of time-series InSAR analysis, enhances time efficiency, and is well-suited for large-scale, rapid survey of land surface deformation.

导出引用

万鹏, 韩贤权, 谭勇, 等. 基于云计算的引调水工程星载TD-InSAR地表形变监测[J]. 长江科学院院报. 2024, 41(10): 206-214 https://doi.org/10.11988/ckyyb.20231420

WAN Peng, HAN Xian-quan, TAN Yong, et al. TD-InSAR Monitoring of Land Surface Deformation along Water Diversion Projects Based on Cloud Computing[J]. Journal of Yangtze River Scientific Research Institute. 2024, 41(10): 206-214 https://doi.org/10.11988/ckyyb.20231420

中图分类号： P237 (测绘遥感技术)

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摘要

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(ZHANG

Yong-guang

, TIAN

Fan

, LI

Ying-chun

, et al. Application of Time Series InSAR to Deformation Monitoring in Central Line Project of South-to-north Water Transfer[J]. Journal of Yangtze River Scientific Research Institute, 2021, 38(8): 72-77. (in Chinese))

https://doi.org/10.11988/ckyyb.20191501

本文引用 [1] 摘要

The Central Line Project of South-to-North Water Transfer is a large-scale linear water conveyance building in China. To guarantee the safe operation of main canals is an important measure to promote people's livelihood and economic development in water-receiving areas. In this paper, the improved SBAS InSAR technology was used to process the 90-view Sentinel-1A data covering the main canal of Huixian segment of the Central Line of South-to-North Water Transfer from April 11, 2015 to March 09, 2019. The deformation information of the Huixian segment and its surroundings in the aforementioned time period was obtained. The settlement of Huixian segment mainly distributed in the southwestern area of the city center of Huixian and the northern area of Luohe Town, while the main canals were basically stable with no large-scale settlement funnel and only a few small settlement areas along the line. The expansive soil segment of Huixian County canal was further investigated comprehensively in consideration of expansive soil characteristics, rainfall, and soil moisture. Result demonstrated a periodic settlement trend, and the settlement was highly correlated with rainfall and soil moisture.

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[23]

胡歆怡, 王云鹏, 荆文龙. 全球多尺度海岸线数据在珠江口岸线的精度评价及适用性分析[J]. 热带地理, 2021, 41(3): 609-621.

https://doi.org/10.13284/j.cnki.rddl.003351

摘要

以珠江口为研究区，对全球自洽分层高分辨率地理数据库（GSHHG）中的全分辨率、高分辨率、中分辨率、低分辨率和粗分辨率等5种海岸线数据开展评价与适用性分析，评估5个尺度海岸线数据的长度及其分形维数差异，并选择珠江口两岸部分区域为例，以不同时期陆地资源卫星Landsat影像为基础，对比不同尺度GSHHG海岸线数据与实际数据之间的差异。结果表明：1）5个尺度海岸线数据的长度及分形维数具有显著差异，分辨率越高，岸线长度越长，其分形维数也越大；2）通过与1978和2018年2个时期基于Landsat影像提取的岸线数据对比表明：GSHHG海岸线数据与实际数据在岸线长度及形态特征上总体一致，但GSHHG海岸线的形态特征与1978年海岸线更接近，反映的是较为早期的海岸线特征。最后建议在进行海岸线变迁与现状调查时，需要根据海岸线长度、岸线形态复杂程度等谨慎选择海岸线数据。

(HU

Xin-yi

, WANG

Yun-peng

, JING

Wen-long

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https://doi.org/10.13284/j.cnki.rddl.003351

本文引用 [1] 摘要

The Global, Self-consistent, Hierarchical, High-resolution Geography (GSHHG) Database, provided by the National Centers for Environmental Information and widely used worldwide, includes global multi-scale coastline data. Although many scientists have utilized this database in their studies, the database itself has not been thoroughly evaluated. The different scales available through the GSHHG database include full resolution, high resolution, intermediate resolution, low resolution, and crude resolution. The Pearl River estuary was selected as our study site. These studies involve the use of the GSHHG database, Landsat MSS from 1978, and Landsat OLI from 2018 to evaluate the differences in coastline length and fractal dimensions among GSHHG datasets collected at five different resolution levels. This study also selected eastern and western sub-regions to compare differences between coastline maps from the GSHHG and Landsat datasets. In addition, the coastline extracted from resampled Landsat OLI data from 2018 (80 m), covering the eastern part of the Pearl River Estuary was compared with the same coastline data extracted from Landsat OLI at 30 m spatial resolution. Coastline lengths according to full resolution, high resolution, intermediate resolution, low resolution, and crude resolution data are 1509.47 km, 1398.12 km, 1212.54 km, 692.00 km, and 326.40 km, respectively. The corresponding fractal dimensions from the GSHHG database were 1.2983, 1.2832, 1.2588, 1.0990, and 1.0262 for full resolution, high resolution, intermediate resolution, low resolution, and crude resolution, respectively. Separate eastern and western segments of the Pearl River Estuary demonstrate that for a given area, full resolution of GSHHG data provides the longest and most detailed rich coastline data relative to the coastline data extracted from the Landsat data and GSHHG database. The length of the coastline extracted from the 1978 Landsat MSS was most similar to the length obtained from high-resolution GSHHG. The data on the morphology of the coastline in the 1978 Landsat MSS were much closer to the full resolution, high resolution, and intermediate resolution data obtained from GSHHG. Compared to the coastline data extracted from 80 m Landsat OLI and 30 m Landsat OLI, a 17.68% length difference was found. Fractal dimension differences were 1.7%. The results show that: (1) The length and fractal dimensions of coastline data produced at five different resolutions are substantially different. Higher-resolution data produce longer coastline lengths and more complex coastline morphologies; (2) Using coastline data extracted from Landsat data in 1978 and 2018 as references, GSHHG coastline dataset was found to be generally consistent with real data shoreline length and morphological characteristics. The morphological characteristics of the GSHHG coastline are closer to the real data from 1978, which does not reflect the current situation of the Pearl River Estuary. The GSHHG database only includes one phase of data, implying that scientists cannot accomplish studies related to coastline change without using additional data. Nevertheless, studies on comparisons between different regions of coastline could select data based on the characteristics of a study area. It is suggested that scientists select coastline data based on coastline length, complexity, and morphology when studying coastline changes in response to situations of interest.

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刘震林, 王莹, 柯小兵, 等. 广州南沙区地面沉降分布特征及成因[J]. 中国地质灾害与防治学报, 2023, 34(1): 49-57.

(LIU

Zhen-lin

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Ying

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Xiao-bing

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